What effect does a high temperature setting have on a model's outputs?

A high temperature setting in a model's output refers to an increased level of randomness and diversity in the generated results. When the temperature parameter is high, the model is encouraged to explore a wider range of possibilities, allowing for more creative and varied outputs. This means the responses can deviate significantly from the most likely or typical answers, leading to results that are more innovative or unexpected.

This characteristic of high temperature settings contrasts with lower settings, where the model tends to produce more predictable and less varied outputs, adhering closely to the most common or probable choices based on its training. In scenarios where diversity and creativity are preferred, such as brainstorming or creative writing, a high temperature setting can lead to exciting and novel ideas.